Eunbyung Park

Computer Vision and Pattern Recognition · with Ko · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eunbyung Park trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jonathan T. Barron

Papers from Eunbyung Park's perspective

Ordered by how strongly the researchers Eunbyung Park trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. GENERATIVE ADVERSARIAL NETS
  10. Structure-from-Motion Revisited

Their papers